Triple
T29210126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Raspberry Award for Worst Actress |
E740522
|
entity |
| Predicate | announcedAround |
P430
|
FINISHED |
| Object | Academy Awards ceremony |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Academy Awards ceremony | Statement: [Golden Raspberry Award for Worst Actress, announcedAround, Academy Awards ceremony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: announcedAround Context triple: [Golden Raspberry Award for Worst Actress, announcedAround, Academy Awards ceremony]
-
A.
announcedAt
chosen
Indicates that an announcement or declaration was made at a specific time or event.
-
B.
announcedAfter
Indicates that one announcement occurred later in time than another specified announcement.
-
C.
announcedWith
Indicates that one entity was publicly revealed, declared, or introduced at the same time as, and in explicit association with, another entity.
-
D.
announcedFor
Indicates that one entity has been publicly declared or made known in connection with, or on behalf of, another entity.
-
E.
announcedThat
Indicates that one entity publicly communicated or declared a specific fact, decision, or piece of information about another entity or situation.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 12:10 p.m.